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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced — the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted — a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated — a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The Cauchy product of with itself has for every , so it diverges
Statement refuted
Refuted claim: the Cauchy product of two convergent series of reals converges (The Cauchy product of two series: , Series, partial sums, convergence and the sum, divergence, and the tail series).
The witness is a single conditionally convergent series multiplied by itself. Let be the alternating sequence (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ) and
so that converges by the alternating series test. Then, as FALSE: the Cauchy product of two convergent series converges establishes,
so does not converge to and diverges (If a series converges then its terms tend to ).
What this counterexample adds to the false statement is the sharp form of the bound: the lower bound increases to , so eventually exceeds every real below . The terms of the product series therefore do not merely fail to tend to ; they stay bounded away from it by an amount approaching . Nothing here determines the asymptotic size of itself, only this lower bound for it; the divergence is as far from marginal as the bound makes it.
Facts & Assumptions
Given: The alternating sequence , the sequence , the series with , and its Cauchy product .
The series converges, , and for every ; hence diverges (FALSE: the Cauchy product of two convergent series converges, The alternating series test: if is nonincreasing with then converges, the sum lies between any two consecutive partial sums, and the error after terms is at most , Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences, If a series converges then its terms tend to , The Cauchy product of two series: , Series, partial sums, convergence and the sum, divergence, and the tail series).
The canonical naturals are positive for and strictly increasing, with ; reciprocation reverses the order on the positives (Canonical naturals are positive and strictly increasing, Inverses of positives are positive, and reciprocation reverses order).
Finite sums are monotone in their terms, and the sum of copies of a constant is (Laws of finite sums and finite products).
Mertens' theorem, whose hypothesis is that one factor converge absolutely (Mertens' theorem: if converges absolutely to and converges to , their Cauchy product converges to ).
Convergence to of a sequence (Limits and Cauchy sequences of reals).
Counterexample
The series converges, and its Cauchy product with itself satisfies for every .
Hence does not converge to : the tolerance admits no index with for all . So diverges, and two convergent series can have a divergent Cauchy product.
The lower bound is itself informative: , a quantity strictly increasing in that exceeds every real below from some index on. So for every , and the terms of the product series stay bounded away from by an amount approaching ; nothing here claims a value for itself, only this bound for it.
Neither factor converges absolutely, and that is exactly what the hypothesis of Mertens' theorem asks for: were convergent, [L6] would make convergent, contradicting step 2.1.
So the refuted claim fails for this pair, and the hypothesis that repairs it is absolute convergence of one factor.
Remarks
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Why the product cannot cancel. By The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and the sign of is , the same for every : the antidiagonal of the product array is sign-constant. So all terms of add, and the AM-GM bound (The arithmetic mean, geometric mean inequality, with square roots as in Square roots exist: a unique with ; the positives are ) shows each is at least .
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Compare the geometric case. In For the Cauchy product of with itself is , with sum the antidiagonal also has equal terms, but they are with , so the count is beaten by the decay. Here the terms of the antidiagonal are at least each, and there are of them, so the count wins.
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This is the same series as in With convergent and bounded but not monotone, diverges. Its terms are exactly small enough to be summable with alternating signs and not otherwise, which is what makes it the standard witness for both failures.
Depends on
- FALSE: the Cauchy product of two convergent series converges
- The Cauchy product of two series: $c_n = \sum_{k=0}^{n} a_k b_{n-k}$
- Mertens' theorem: if $\sum a_k$ converges absolutely to $A$ and $\sum b_k$ converges to $B$, their Cauchy product converges to $AB$
- The alternating series test: if $(b_k)$ is nonincreasing with $b_k \to 0$ then $\sum_{k} (-1)^{k} b_k$ converges, the sum lies between any two consecutive partial sums, and the error after $n$ terms is at most $b_n$
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- The arithmetic mean, geometric mean inequality
- If a series converges then its terms tend to $0$
- The even and odd index maps and the alternating sequence: strictly increasing $e, o$ with $\mathbb{N}$ their disjoint union, and the unique $(s_k)$ with $s_0 = 1$, $s_{\sigma(k)} = -s_k$, which satisfies $|s_k| = 1$, $s \circ e \equiv 1$ and $s \circ o \equiv -1$
- Laws of finite sums and finite products
- Canonical naturals are positive and strictly increasing
- Inverses of positives are positive, and reciprocation reverses order
- Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences
- Series, partial sums, convergence and the sum, divergence, and the tail series
- Limits and Cauchy sequences of reals
Used by
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Sources
- Cauchy product (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (standard reference, not scraped)
- Colorado State University, MATH 171 Homework 4 Solutions (standard reference, not scraped)
- John K. Hunter, An Introduction to Real Analysis, Chapter 4 (standard reference, not scraped)